A single autoregressive architecture with a Mamba-based history compressor unifies prompted and unprompted video segmentation and beats prior universal streaming models on seven benchmarks.
Mose: A new dataset for video object segmentation in complex scenes
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Autoregressive Universal Video Segmentation Model
A single autoregressive architecture with a Mamba-based history compressor unifies prompted and unprompted video segmentation and beats prior universal streaming models on seven benchmarks.